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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

    specific numerical or structured formats, likely related to statistical data or results

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    /"
    -0.54
     stronger
    -0.53
     bicy
    -0.52
     synerg
    -0.52
     footwear
    -0.51
    bush
    -0.51
     cataly
    -0.51
     Forrest
    -0.49
     sorting
    -0.48
     gent
    -0.48
    POSITIVE LOGITS
    roma
    0.71
    thora
    0.69
     Detected
    0.66
    ESSION
    0.64
     Wraith
    0.64
    \":
    0.63
     ][
    0.60
    theless
    0.60
    Ĥª
    0.59
    ?????-?????-
    0.57
    Activations Density 0.316%

    No Known Activations